Breakthrough

We are seeking a visionary and technically adept Principal Software Engineer to lead the design and development of intelligent content systems. This role will focus on transforming how knowledge is structured, discovered, and delivered through advanced machine learning, knowledge graph modeling, and personalized recommendation systems.

The Principal Software Engineer will design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients.

• Works closely with the Product Owners, Product Managers, Architects to translate requirements into code.
• Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning.
• Participate in DevOps, Agile, continuous development and integration frameworks.
• Programming in high-level languages such as Go, Python, Java etc.
• Ensure all appropriate documentation of processes and source code is created and maintained.
• Communicate effectively with peers, leaders, and customers throughout the organization.
• Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation.
• Contributes to design and architecture discussions with Principals and Architects.
• Leads targeted cross-functional improvement efforts and mentors more junior software engineers.
• Interpret internal or external issues and recommend solutions/best practices, solving complex problems with a broad perspective to identify solutions. 
• May lead functional teams or projects. 
• Ability to works independently, with guidance in only the most complex situations.

Key Responsibilities

• Technical Leadership: Serve as the solution architect for initiatives spanning divisions and enterprise platforms. Set technical direction aligned with emerging trends in ML, content intelligence, and semantic search.
• Content Transformation & Knowledge Graphs: Design and implement scalable pipelines that convert unstructured content into structured, queryable knowledge graphs. Collaborate with domain experts to define ontologies and semantic relationships.
• Recommendation Systems: Lead the development of ML-driven recommendation engines that personalize content delivery based on user behavior, context, and intent.
• API Design & Integration: Architect and implement robust, scalable APIs to expose content and recommendation services to internal and external consumers.
• Engineering Excellence: Establish and uphold coding standards, CI/CD practices, and quality benchmarks. Drive adoption of best practices across teams.
• Operational Excellence: Monitor and improve the operational health of deployed systems, including performance, reliability, and security.
• Mentorship & Collaboration: Mentor engineers across teams, lead technical guilds, and foster a culture of innovation and continuous learning.

Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 10 years of experience as noted below; or Associate’s Degree in Computer Science / Engineering or related field with 12 years of experience as noted below. 

Have specialized depth and/or breadth of expertise in software engineering with coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.). Experience developing software services for the cloud with a preference for GCP experience. Demonstrated problem solving and time management skills. Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Deep hands-on technical expertise, excellent verbal and written communication skills. Experience with Agile software development techniques. 

Required Qualifications

• Proven experience in building and deploying large-scale ML systems, especially recommendation engines.
• Deep understanding of knowledge representation, graph databases (e.g., Neo4j, RDF), and content modeling.
• Proficiency in Java and experience designing and consuming RESTful APIs.
• Strong programming skills in Python or Scala, and experience with ML frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (GCP, Azure) and container orchestration (Kubernetes).
• Strong communication skills and a track record of cross-functional leadership.

Preferred Qualifications:

• Experience with healthcare or regulated industries.
• Contributions to open-source projects or published research in ML/NLP.
• Advanced degree in Computer Science, AI, or related field.
• Retrieval-Augmented Generation (RAG): Develop and integrate RAG techniques to enhance content retrieval and generation processes.
• Generative AI: Leverage generative AI models to create personalized and contextually relevant content.
• Experience with Retrieval-Augmented Generation (RAG) techniques.
• Proven expertise in developing and deploying Generative AI models.

Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorships now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Mayo Clinic does not participate in the F-1 STEM OPT extension program.